GRADUATE STUDENTS FOR FALL 2014 (or later): Several topics in optimization. I am looking for original thinkers who have a good
knowledge of optimization algorithms and skills in software development
(especially experience with parallel or concurrent algorithms). Preference for
domestic applicants, though foreign applicants with strong records may apply.
Optimization algorithms and software. Faster and more effective algorithms and software for
nonlinear, mixed-integer, and linear programming.
Feasibility and infeasibility in optimization. Ways of reaching a feasible solution more quickly for nonlinear and
mixed-integer programs, and of analyzing infeasible optimization
models. Spin-off applications from algorithms for analyzing
Optimization formulation assistants. Automated tools for analyzing and debugging optimization
models. For example, one tool analyzes the shape of nonlinear
functions and regions to help select the correct solver.
Applied optimization. Examples include transistor
sizing, DSP task-to-processor assignment, flexible manufacturing systems,
forestry, scheduling, task assignment in cloud computing, channel
assignment in wireless networks, 3G communications optimization.
Data classifiers. A new approach for
finding good data classifiers arises from an infeasibility analysis
algorithm. What is the best way to use this to develop better data